1 to 25 of 98 Permanent Sentiment Analysis Jobs in England

and Experience Capabilities in a range of AI techniques (e.g. supervised and un-supervised machine learning techniques, GenAI, deep learning, graph data analytics, statistical analysis, time series, geospatial, NLP, sentiment analysis, pattern detection, etc.). Strong communication skills - able to compellingly present work to clients, disseminating More ❯

experienced in all of the areas outlined below. Qualifications: AI techniques (e.g. supervised and unsupervised machine learning techniques, deep learning, graph data analytics, statistical analysis, time series, geospatial, NLP, sentiment analysis, pattern detection). Proficiency in Python, R, or Spark to extract insights from data. Experience More ❯

is passionate about learning and applying data science in the fast-paced world of events and hospitality. What You’ll Do Event & Guest Data Analysis Analyse guest behaviour, ticketing trends, attendance, and feedback to extract actionable insights. Support marketing and sales with campaign and engagement performance metrics. Design and … personalised recommendations. Validate AI outputs and help improve algorithms using real-world feedback. Research trends in hospitality AI (e.g., dynamic pricing, sentiment analysis) and test innovative approaches. Data Infrastructure & Governance Ensure accuracy and consistency of data across CRM, ticketing, and event platforms. Assist in standardising and centralising More ❯

is passionate about learning and applying data science in the fast-paced world of events and hospitality. What You’ll Do Event & Guest Data Analysis Analyse guest behaviour, ticketing trends, attendance, and feedback to extract actionable insights. Support marketing and sales with campaign and engagement performance metrics. Design and … personalised recommendations. Validate AI outputs and help improve algorithms using real-world feedback. Research trends in hospitality AI (e.g., dynamic pricing, sentiment analysis) and test innovative approaches. Data Infrastructure & Governance Ensure accuracy and consistency of data across CRM, ticketing, and event platforms. Assist in standardising and centralising More ❯

to build extensible systems that provide compounding value over time. You'll: Build the initial sentiment and topic classification models for review analysis Develop merchant benchmarking methodology across various industry categories Create data pipelines that integrate with our existing systems Implement efficient ETL processes to ensure data … data science roles Strong programming skills in Python and SQL Experience building NLP/ML models, particularly for text classification or sentiment analysis Background in developing data pipelines and ETL processes Proven ability to translate complex data models into business insights Experience working with large datasets (preferably … to collaborate with product and design teams Nice-to-Haves Experience with e-commerce platforms, especially Shopify Background in trust metrics or customer experience analysis Knowledge of dashboard design and data visualization best practices Experience with cloud-based data infrastructure (AWS) Familiarity with modern data stack tools (Airflow, dbt More ❯

and after Championships by providing data-driven insights and actionable intelligence to maximise the reach, engagement, and conversion of marketing activities. Examples include: Audience Analysis and Segmentation – demographic, behavioural, and psychographic insights Campaign Performance Analysis – Metrics and KPIs, ROI analysis, and optimization recommendations Product engagement – Google Analytics … etc. Fan Engagement Strategies – Content preferences, engagement channels, personalization Social Media Analytics – sentiment analysis, influencer insights Help deliver personalized qualitative and quantitative insights within various markets in collaboration with Unions and Federations, including: Brand tracking & insight for sponsors Fan experience & sponsor perception surveys Sponsor social & campaign tracking … Rugby team, sponsors, broadcasters, and Unions. The candidate we are looking for can demonstrate: · A curious mind and a can-do attitude · Strong data analysis and visualisation skills (Office 365 Suite incl. Excel, PPT and Power BI preferable) · Familiarity with social listening tools and marketing tools (preferable) · Excellent communication More ❯

and after Championships by providing data-driven insights and actionable intelligence to maximise the reach, engagement, and conversion of marketing activities. Examples include: Audience Analysis and Segmentation – demographic, behavioural, and psychographic insights Campaign Performance Analysis – Metrics and KPIs, ROI analysis, and optimization recommendations Product engagement – Google Analytics … etc. Fan Engagement Strategies – Content preferences, engagement channels, personalization Social Media Analytics – sentiment analysis, influencer insights Help deliver personalized qualitative and quantitative insights within various markets in collaboration with Unions and Federations, including: Brand tracking & insight for sponsors Fan experience & sponsor perception surveys Sponsor social & campaign tracking … Rugby team, sponsors, broadcasters, and Unions. The candidate we are looking for can demonstrate: · A curious mind and a can-do attitude · Strong data analysis and visualisation skills (Office 365 Suite incl. Excel, PPT and Power BI preferable) · Familiarity with social listening tools and marketing tools (preferable) · Excellent communication More ❯

and after Championships by providing data-driven insights and actionable intelligence to maximise the reach, engagement, and conversion of marketing activities. Examples include: Audience Analysis and Segmentation – demographic, behavioural, and psychographic insights Campaign Performance Analysis – Metrics and KPIs, ROI analysis, and optimization recommendations Product engagement – Google Analytics … etc. Fan Engagement Strategies – Content preferences, engagement channels, personalization Social Media Analytics – sentiment analysis, influencer insights Help deliver personalized qualitative and quantitative insights within various markets in collaboration with Unions and Federations, including: Brand tracking & insight for sponsors Fan experience & sponsor perception surveys Sponsor social & campaign tracking … Rugby team, sponsors, broadcasters, and Unions. The candidate we are looking for can demonstrate: · A curious mind and a can-do attitude · Strong data analysis and visualisation skills (Office 365 Suite incl. Excel, PPT and Power BI preferable) · Familiarity with social listening tools and marketing tools (preferable) · Excellent communication More ❯

and after Championships by providing data-driven insights and actionable intelligence to maximise the reach, engagement, and conversion of marketing activities. Examples include: Audience Analysis and Segmentation – demographic, behavioural, and psychographic insights Campaign Performance Analysis – Metrics and KPIs, ROI analysis, and optimization recommendations Product engagement – Google Analytics … etc. Fan Engagement Strategies – Content preferences, engagement channels, personalization Social Media Analytics – sentiment analysis, influencer insights Help deliver personalized qualitative and quantitative insights within various markets in collaboration with Unions and Federations, including: Brand tracking & insight for sponsors Fan experience & sponsor perception surveys Sponsor social & campaign tracking … Rugby team, sponsors, broadcasters, and Unions. The candidate we are looking for can demonstrate: · A curious mind and a can-do attitude · Strong data analysis and visualisation skills (Office 365 Suite incl. Excel, PPT and Power BI preferable) · Familiarity with social listening tools and marketing tools (preferable) · Excellent communication More ❯

ability to effectively collaborate with cross-functional teams Strong problem-solving and decision-making abilities Knowledge of agile project management methodologies Experience with data analysis and reporting Ability to adapt to changing priorities and work well under pressure Project management certification (e.g., PMP) is a plus Bachelor's degree … Chatbots and Virtual Assistants: Deploy AI-driven chatbots to handle routine inquiries, provide 24/7 support, and reduce wait times. Sentiment Analysis: Use AI to analyze customer feedback and sentiment from various channels to improve services. 2. Fraud Detection and Prevention Real-Time Monitoring More ❯

knowledge of one or more of the following fields: Entity Recognition and Disambiguation Concept/Topic Extraction Document Summarization Trend Detection Sentiment Analysis Substantial programming experience (preferably in a commercial environment); Clojure or similar languages (e.g., Java or Python); Software collaboration and revision control (e.g., Git or More ❯

secure their renewal and hit retention targets Amplify Customer Loyalty : Champion customer retention, ensuring seamless renewals and surpassing retention targets. Master Sentiment Analysis : Identify and neutralise potential sentiment risks across diverse stakeholders, from end users to top decision-makers, fostering enduring relationships. Empower Customer Advocacy More ❯

field (Computer Science, Machine Learning, Operational Research, Statistics, Mathematics, etc.) or equivalent experience, 7+ years of industry experience in predictive modelling, data science and analysis, with prior experience in a ML or data scientist role and a track record of building ML or DL models. Responsibilities and skills: Work … summarisation, attribute extraction, etc. Preferable experience in one or more of the following areas: recommender systems, moderation of user generated content, sentiment analysis, etc. OR Speech recognition, speech to text and vice versa, understanding NLP and IR, text summarisation, statistical and deep learning approaches to text processing. More ❯

field (Computer Science, Machine Learning, Operational Research, Statistics, Mathematics, etc.) or equivalent experience, 7+ years of industry experience in predictive modelling, data science and analysis, with prior experience in a ML or data scientist role and a track record of building ML or DL models. Responsibilities and skills: Work … summarisation, attribute extraction, etc. Preferable experience in one or more of the following areas: recommender systems, moderation of user generated content, sentiment analysis, etc. OR Speech recognition, speech to text and vice versa, understanding NLP and IR, text summarisation, statistical and deep learning approaches to text processing. More ❯

to CCaaS solutions. · Leverage AI-driven capabilities, including OpenAI, Co-Pilot, and Amazon Connect Contact Lens, to support features such as sentiment analysis, predictive analytics, and omnichannel support. · Work on API integrations to CCaaS and Hyperscaler platforms ensuring seamless enterprise-wide solutions. · Collaborate with clients to translate More ❯

data science roles Strong programming skills in Python and SQL Experience building NLP/ML models, particularly for text classification or sentiment analysis Background in developing data pipelines and ETL processes Proven ability to translate complex data models into business insights Experience working with large datasets (preferably More ❯

voice, and other channels. Apply natural language processing (NLP) and natural language understanding (NLU) techniques such as intent recognition, entity extraction, sentiment analysis, and named entity recognition to inform conversation logic. Design effective, brand-aligned prompts and interactions for large language models (LLMs), including GPT-based systems. More ❯

voice, and other channels. Apply natural language processing (NLP) and natural language understanding (NLU) techniques such as intent recognition, entity extraction, sentiment analysis, and named entity recognition to inform conversation logic. Design effective, brand-aligned prompts and interactions for large language models (LLMs), including GPT-based systems. More ❯

voice, and other channels. Apply natural language processing (NLP) and natural language understanding (NLU) techniques such as intent recognition, entity extraction, sentiment analysis, and named entity recognition to inform conversation logic. Design effective, brand-aligned prompts and interactions for large language models (LLMs), including GPT-based systems. More ❯

Gather data from diverse media platforms using data scraping tools, APIs, and monitoring services. Provide data-driven recommendations to improve campaign performance based on analysis of key metrics. Creating propositions for clients and storytelling - really bringing the numbers to life in an engaging and informative manner. Clean and structure … patterns and emerging trends within media data to understand audience behaviour and market dynamics. Track key metrics like impressions, reach, engagement, sentiment analysis, and cost-per-click across different media channels. Analyse data to identify different audience segments and their media consumption habits. Monitor competitor media coverage … data visualizations (graphs, charts) to communicate insights to stakeholders. The ideal candidate . Experience working with consumer focused data and audiences. Proficiency in data analysis tools and techniques (e.g., SQL, Python, R, Tableau). Previous experience in data storytelling, data translation and delivering insights to a variety of audiences. More ❯

of our client-facing teams to successfully translate and deliver our offering to clients will be key to success in this role. Post Campaign Analysis; Accountable for the overall quality and output of all post campaign analysis delivered by client service and measurement teams through appropriate tools, processes … Party Measurement Partners: Owning and managing our relationships with key vendors who provide measurement solutions for our clients across brand lift, sentiment analysis and other bespoke solutions to ensure our measurement offering remains market leading. Insight curation and delivery: Owning the development and delivery of bespoke insights More ❯

voice, and other channels. Apply natural language processing (NLP) and natural language understanding (NLU) techniques such as intent recognition, entity extraction, sentiment analysis, and named entity recognition to inform conversation logic. Design effective, brand-aligned prompts and interactions for large language models (LLMs), including GPT-based systems. More ❯

into Dynamics 365 to streamline workflows. Enhance CI/CD pipelines and support continuous integration and deployment. Leverage AI tools for sentiment analysis, call transcriptions, and customer data insights. Collaborate with cross-functional teams to digitize processes, including customer onboarding and third-party integrations. Mentor colleagues and More ❯

into Dynamics 365 to streamline workflows. Enhance CI/CD pipelines and support continuous integration and deployment. Leverage AI tools for sentiment analysis, call transcriptions, and customer data insights. Collaborate with cross-functional teams to digitize processes, including customer onboarding and third-party integrations. Mentor colleagues and More ❯

into Dynamics 365 to streamline workflows. Enhance CI/CD pipelines and support continuous integration and deployment. Leverage AI tools for sentiment analysis, call transcriptions, and customer data insights. Collaborate with cross-functional teams to digitize processes, including customer onboarding and third-party integrations. Mentor colleagues and More ❯